CN103544652B - Power grid industry classification load automatic statistical method and system - Google Patents
Power grid industry classification load automatic statistical method and system Download PDFInfo
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Abstract
The present invention provides a kind of power grid industry classification load automatic statistical method and system, the described method comprises the following steps：Grid model data is obtained, and model boundary in acquired grid model data carries out model splicing, obtains the full model network of insertion；Network topology is carried out to the full model network, logic bus, logic bus and equipment corresponding relation, equipment room incidence relation is obtained；Network distribution transformer industry classification load, the industry classification load of feeder line and bus, transformer, circuit, plant stand, the industry classification load statistical information in region are calculated according to Network topology result.The method of the present invention and system are easy to dispatching of power netwoks personnel quickly to hold economy operation of power grid mode, and the reasonable arrangement method of operation, it is ensured that responsible consumer is powered improves power network power supply reliability；And without user's manual maintenance, the maintenance workload and working strength of dispatcher and automated maintenance personnel are alleviated, with good promotional value.
Description
Technical field
The present invention relates to field of power, more particularly to a kind of power grid industry classification load automatic statistical method and
Power grid industry classification load automation statistics system
Background technology
With the fast development of power system, requirement higher is proposed to dispatching and monitoring business, not only needed to power network
Operating condition is monitored, it is also desirable to the industry classification load that power network is powered is monitored, is held in time in order to dispatcher
The Economic Status of power network, reasonable arrangement power system operating mode, it is ensured that responsible consumer is powered improves the economy of power supply.
Current dispatch automated system, distribution automation system are mainly monitored to operation of power networks operating mode.In recent years, have
Electric company start to carry out opening for power grid industry classification load function for monitoring in dispatching automation or distribution automation system
Hair, the method for use is mainly and defines instrument by the formula that automated system is provided by user and defined one by one.But, adopt
Power grid industry classification load is carried out with above-mentioned conventional method and monitors that efficiency comparison is low, intelligence degree is not high, with electric network model
Change with Marketing Model needs manually to be safeguarded that cause maintenance workload big, practical level is low.
The content of the invention
Based on this, the present invention provides a kind of power grid industry classification load automatic statistical method and system, being capable of programming count
Power grid industry classification load, safeguards without automation personnel, alleviates maintenance workload.
To achieve the above object, the present invention is adopted the following technical scheme that：
A kind of power grid industry classification load automatic statistical method, comprises the following steps：
Grid model data is obtained, and model boundary in acquired grid model data carries out model splicing,
Obtain the full model network of insertion；
Network topology is carried out to the full model network, obtain logic bus, logic bus and equipment corresponding relation,
Equipment room incidence relation；
According to Network topology result calculate network distribution transformer industry classification load, the industry classification load of feeder line and
Bus, transformer, circuit, plant stand, the industry classification load statistical information in region.
A kind of power grid industry classification load automation statistics system, including：
Model splicing module, for obtaining grid model data, and the model in acquired grid model data
Border carries out model splicing, obtains the full model network of insertion；
Network topology module, for carrying out Network topology to the full model network, obtains logic bus, patrols
Collect bus and equipment corresponding relation, equipment room incidence relation；
Industry classification load programming count module, for calculating network distribution transformer industry point according to Network topology result
Type load, the industry classification load of feeder line and bus, transformer, circuit, plant stand, the industry classification load in region statistics letter
Breath.
By above scheme as can be seen that power grid industry classification load automatic statistical method of the invention and system, from power network
Least significant end starts, based on Network topology result, realize upwards step by step from network distribution transformer, feeder line, bus, transformer,
Circuit, plant stand, the industry classification load programming count of the various kinds of equipment in region, are easy to dispatching of power netwoks personnel quickly to hold power network and pass through
The Ji method of operation, the reasonable arrangement method of operation, it is ensured that responsible consumer is powered improves power network power supply reliability；And without user
Manual maintenance, alleviates the maintenance workload and working strength of dispatcher and automated maintenance personnel, with good promotion price
Value.
Brief description of the drawings
Fig. 1 is a kind of schematic flow sheet of power grid industry classification load automatic statistical method in the embodiment of the present invention；
Fig. 2 is a kind of structural representation of power grid industry classification load automation statistics system in the embodiment of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings and specific embodiment, technical scheme is further described.
Shown in Figure 1, a kind of power grid industry classification load automatic statistical method is comprised the following steps：
Step S101, obtains grid model data, and model boundary in acquired grid model data is carried out
Model splicing, obtains the full model network of insertion, subsequently into step S102.
Used as a preferable embodiment, the process of the acquisition grid model data can specifically include：From scheduling certainly
Dynamicization system, distribution automation system, marketing system etc. obtain the grid model data.
It is further to note that the model boundary of dispatching automation and distribution automation be feeder line, distribution automation and
The model boundary of marketing automation is network distribution transformer.
Step S102, Network topology is carried out to the full model network, obtains logic bus, logic bus and equipment
Corresponding relation, equipment room incidence relation, subsequently into step S103.
As a preferable embodiment, the process that the full model network carries out Network topology can specifically be wrapped
Include：Network topology is carried out to the full model network by breadth-first search according to electrical equipment node serial number.
Step S103, network distribution transformer industry classification load, the industry of feeder line point are calculated according to Network topology result
Type load and bus, transformer, circuit, plant stand, the industry classification load statistical information in region.
As a preferable embodiment, can include in the industry classification load statistical information：Sorted users number, point
Class electricity, classed load, classification economic worth etc..
Used as a preferable embodiment, step S103 specifically may include steps of：
Step S1031, Marketing Model data, distribution transforming user-association relation meter in acquired grid model data
Calculate network distribution transformer industry classification load；
Step S1032, the network distribution transformer with the same logic bus of feeder line is obtained according to Network topology result, and
The industry classification load of feeder line is calculated according to the network distribution transformer industry classification load；
Step S1033, the confession in bus, transformer, circuit, plant stand, region is obtained according to Network topology result step by step
Electric feeder line, and born according to the trade classification in the industry classification load of feeder line calculating bus, transformer, circuit, plant stand, region
Lotus statistical information.
In addition, after step S103 is calculated the industry classification load statistical information, following step can also be included
Suddenly：
Step S104, is opened up the industry classification load statistical information in the form of economic tidal current chart or block diagram
It is existing.Every industry classification load statistics of circuit is represented with the pattern of electrical network economy tidal current chart, or with block diagram
Shape represents the industry classification load statistical information of switch, main transformer, bus.Carried out visually by by industry classification load statistics
Change represents, and is easy to dispatching of power netwoks personnel more rapidly to hold economy operation of power grid mode, so as to more reasonably arrange power network fortune
Line mode.
Corresponding with a kind of above-mentioned power grid industry classification load automatic statistical method, the present invention also provides a kind of power network industry
Classed load automation statistics system, as shown in Fig. 2 including：
Model splicing module 101, for obtaining grid model data, and the mould in acquired grid model data
Type border carries out model splicing, obtains the full model network of insertion；
Network topology module 102, for carrying out Network topology to the full model network, obtains logic female
Line, logic bus and equipment corresponding relation, equipment room incidence relation；
Industry classification load programming count module 103, for calculating network distribution transformer row according to Network topology result
Industry classed load, the industry classification load of feeder line and bus, transformer, circuit, plant stand, the industry classification load in region statistics
Information.
As a preferable embodiment, can include in the industry classification load statistical information：Sorted users number, point
Class electricity, classed load, classification economic worth etc..
Used as a preferable embodiment, the industry classification load programming count module can include：
First computing module, closes for the Marketing Model data in the grid model data acquired in basis, distribution transforming user
Connection relation calculates network distribution transformer industry classification load；
Second computing module, becomes for being obtained according to Network topology result with the distribution of the same logic bus of feeder line
Depressor, and the industry classification load of feeder line is calculated according to the network distribution transformer industry classification load；
3rd computing module, for obtaining bus, transformer, circuit, plant stand, area step by step according to Network topology result
The feed line of power supply in domain, and bus, transformer, circuit, plant stand, the industry in region are calculated according to the industry classification load of the feeder line
Classed load statistical information.
Used as a preferable embodiment, power grid industry classification load automation statistics system of the invention can also include：
Display module, for being entered the industry classification load statistical information in the form of economic tidal current chart or block diagram
Row represents.Represented by the way that industry classification load statistics is carried out into visualization, be easy to dispatching of power netwoks personnel more rapidly
Economy operation of power grid mode is held, so as to more reasonably arrange power system operating mode.
It should be noted that power grid industry classification load automation statistics system mode of operation of the invention can be client
End/server（C/S）Mode, is described in detail below：
First, model splicing module, Network topology module, industry classification load programming count module are deployed in service
Device end, is responsible for obtaining grid model data from dispatch automated system, distribution automation system, marketing system, and implementation model is spelled
Connect, carry out Network topology, periodically calculate industry classification load information and write into Databasce；
The 2nd, display module is set on the client, is responsible for providing human-computer interaction interface, with economic tidal current chart or block diagram
Form visual monitoring means for dispatcher provides.
A kind of other technical characteristics of above-mentioned power grid industry classification load automation statistics system and a kind of power network of the invention
Industry classification load automatic statistical method is identical, and it will not go into details herein.
By above scheme as can be seen that power grid industry classification load automatic statistical method of the invention and system, from electricity
Net least significant end starts, and based on Network topology result, realizes upwards step by step from network distribution transformer, feeder line, bus, transformation
Device, circuit, plant stand, the industry classification load programming count of the various kinds of equipment in region, are easy to dispatching of power netwoks personnel quickly to hold electricity
Net way of economic operation, the reasonable arrangement method of operation, it is ensured that responsible consumer is powered improves power network power supply reliability；And need not
User's manual maintenance, alleviates the maintenance workload and working strength of dispatcher and automated maintenance personnel, with pushing away well
Wide value.
Embodiment described above only expresses several embodiments of the invention, and its description is more specific and detailed, but simultaneously
Therefore the limitation to the scope of the claims of the present invention can not be interpreted as.It should be pointed out that for one of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Shield scope.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (7)
1. a kind of power grid industry classification load automatic statistical method, it is characterised in that comprise the following steps：
Grid model data is obtained, and model boundary in acquired grid model data carries out model splicing, obtains
The full model network of insertion；Wherein, the power network mould is obtained from dispatch automated system, distribution automation system, marketing system
The model boundary of type data, dispatching automation and distribution automation is the model side of feeder line, distribution automation and marketing automation
Boundary is network distribution transformer；
Network topology is carried out to the full model network, logic bus, logic bus and equipment corresponding relation, equipment is obtained
Between incidence relation；
Network distribution transformer industry classification load, the industry classification load of feeder line and mother are calculated according to Network topology result
Line, transformer, circuit, plant stand, the industry classification load statistical information in region, specifically include：
Marketing Model data, distribution transforming user-association relation in acquired grid model data calculate network distribution transformer row
Industry classed load；
Network distribution transformer with the same logic bus of feeder line is obtained according to Network topology result, and is become according to the distribution
Depressor industry classification load calculates the industry classification load of feeder line；
Obtain the feed line of power supply in bus, transformer, circuit, plant stand, region step by step according to Network topology result, and according to institute
The industry classification load for stating feeder line calculates bus, transformer, circuit, plant stand, the industry classification load statistical information in region.
2. power grid industry classification load automatic statistical method according to claim 1, it is characterised in that the trade classification
Load statistical information includes：Sorted users number, classification electricity, classed load, classification economic worth.
3. power grid industry classification load automatic statistical method according to claim 2, it is characterised in that to the full model
The process that network carries out Network topology includes：
Network topology is carried out to the full model network by breadth-first search according to electrical equipment node serial number.
4. the power grid industry classification load automatic statistical method according to claim 1-3 any one, it is characterised in that meter
Calculation is obtained after the industry classification load statistical information, also including step：
The industry classification load statistical information is represented in the form of economic tidal current chart or block diagram.
5. a kind of power grid industry classification load automation statistics system, it is characterised in that including：
Model splicing module, for obtaining grid model data, and the model boundary in acquired grid model data
Model splicing is carried out, the full model network of insertion is obtained；
Network topology module, for carrying out Network topology to the full model network, obtains logic bus, logic female
Line and equipment corresponding relation, equipment room incidence relation；
Industry classification load programming count module, bears for calculating network distribution transformer trade classification according to Network topology result
Lotus, the industry classification load of feeder line and bus, transformer, circuit, plant stand, the industry classification load statistical information in region；
The industry classification load programming count module includes：
First computing module, closes for the Marketing Model data in the grid model data acquired in basis, distribution transforming user-association
System calculates network distribution transformer industry classification load；Wherein, obtained from dispatch automated system, distribution automation system, marketing system
Take the grid model data, the model boundary of dispatching automation and distribution automation is feeder line, distribution automation and marketing from
The model boundary of dynamicization is network distribution transformer；
Second computing module, for obtaining the distribution transformation with the same logic bus of feeder line according to Network topology result
Device, and the industry classification load of feeder line is calculated according to the network distribution transformer industry classification load；
3rd computing module, for step by step obtaining bus, transformer, circuit, plant stand, region according to Network topology result
Feed line of power supply, and the trade classification in bus, transformer, circuit, plant stand, region is calculated according to the industry classification load of the feeder line
Load statistical information.
6. power grid industry classification load automation statistics system according to claim 5, it is characterised in that the trade classification
Load statistical information includes：Sorted users number, classification electricity, classed load, classification economic worth.
7. the power grid industry classification load automation statistics system according to claim 5-6 any one, it is characterised in that also
Including：
Display module, for being opened up the industry classification load statistical information in the form of economic tidal current chart or block diagram
It is existing.
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Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104158175B (en) * | 2014-04-28 | 2016-08-24 | 广东电网公司佛山供电局 | A kind of computational methods of power system distribution transformer terminals real-time electricity consumption classed load |
| CN104200390B (en) * | 2014-06-20 | 2019-01-29 | 重庆邮电大学 | Electric power networks analysis method for reliability based on cellular automaton |
| CN107516894B (en) * | 2017-08-08 | 2020-11-10 | 河南理工大学 | Coal mine high-voltage power grid load statistical method based on network topology self-learning |
| CN108429253A (en) * | 2018-02-12 | 2018-08-21 | 中国南方电网有限责任公司 | The construction method of the load user property model of multi-level collaborative |
| CN108649558B (en) * | 2018-04-23 | 2021-06-22 | 中国南方电网有限责任公司 | Method for obtaining user information of power grid element |
| CN110165657A (en) * | 2018-08-30 | 2019-08-23 | 中国南方电网有限责任公司 | Consider substation's load characteristics clustering analysis method of user's industry attribute |
| CN111625915B (en) * | 2020-05-27 | 2023-05-02 | 广东电网有限责任公司 | Analysis method and system for feeder equipment interval power supply range household data |
| CN113991688A (en) * | 2021-11-25 | 2022-01-28 | 广东电网有限责任公司 | Automatic voltage control method and device based on power distribution network coordination control area |
| CN115882611B (en) * | 2023-03-08 | 2023-05-12 | 北京清大高科系统控制有限公司 | Orderly power consumption monitoring method and device for multi-source data fusion |
| CN116937577B (en) * | 2023-09-15 | 2023-12-05 | 北京清大高科系统控制有限公司 | Province and region integrated load portrait method and device based on transmission and distribution path tracking |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101482901A (en) * | 2009-02-06 | 2009-07-15 | 中国电力科学研究院 | System and method for providing power data correlated service based on WAN |
| CN101795018A (en) * | 2009-12-31 | 2010-08-04 | 华北电力大学 | Visualization-based support system of electric network intelligent scheduling technique |
| CN102254256A (en) * | 2011-07-21 | 2011-11-23 | 福建省电力有限公司福州电业局 | Transmission and distribution network integration comprehensive line loss management analysis system and processing flow thereof |
| CN102916431A (en) * | 2012-09-20 | 2013-02-06 | 中国电力科学研究院 | Assisted decision making method for load transfer in regional power grid |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1418477A1 (en) * | 2002-11-06 | 2004-05-12 | Abb Research Ltd. | Method for controlling an electric power transmission network |
| US8195437B2 (en) * | 2009-10-03 | 2012-06-05 | Raytheon Company | Systems power distribution tool |
| CN101777765B (en) * | 2010-01-27 | 2012-06-20 | 中国电力科学研究院 | On-line load simulation method of power system |
| CN101789598B (en) * | 2010-03-05 | 2012-05-30 | 湖北省电力试验研究院 | Power system load modelling method |
| CN102184331B (en) * | 2011-05-12 | 2015-08-19 | 中国电力科学研究院 | The splicing of model and the method for integration in large-scale power system real-time emulation system |
-
2013
- 2013-09-26 CN CN201310446547.XA patent/CN103544652B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101482901A (en) * | 2009-02-06 | 2009-07-15 | 中国电力科学研究院 | System and method for providing power data correlated service based on WAN |
| CN101795018A (en) * | 2009-12-31 | 2010-08-04 | 华北电力大学 | Visualization-based support system of electric network intelligent scheduling technique |
| CN102254256A (en) * | 2011-07-21 | 2011-11-23 | 福建省电力有限公司福州电业局 | Transmission and distribution network integration comprehensive line loss management analysis system and processing flow thereof |
| CN102916431A (en) * | 2012-09-20 | 2013-02-06 | 中国电力科学研究院 | Assisted decision making method for load transfer in regional power grid |
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